Popular GitHub Repositories for Movement Primitives

Instant neural graphics primitives: lightning fast NeRF and more

A resource repository for 3D machine learning

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A Unity library for common movement AI

Collective communications library with various primitives for multi-machine training.

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

Programmable CUDA/C++ GPU Graph Analytics

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Use NLP to predict stock price movement associated with news

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Using Machine Learning to predict the type of exercise from movement data

[NeurIPS 2023] PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

An AI model used to help with the workout session by keeping track of counts and movement.

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. TPAMI 2018.